2019冠状病毒病焦虑对2021年某行业从业人员生活质量的影响:案例研究

Seyvan Sobhani, Mohammad Sharif Hosseini, Behnam Koroozhdeh, Sara Tabanfar
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引用次数: 0

摘要

背景:本研究旨在调查新冠肺炎引起的焦虑对工业部门工作人员生活质量的影响。方法:采用多阶段随机抽样的方法,对212名工业部门从业人员进行描述性横断面研究。采用人口统计信息问卷、冠状疾病焦虑量表(CDAS)和世界卫生组织生活质量量表(WHOQOL-BREF)收集数据。采用SPSS统计软件第24版进行数据分析。考虑0.05的显著性水平。结果:参与者平均年龄为33.27±6.6岁,男性占78.8%,已婚者占79.3%(168人)。CDAS和WHOQOL-BREF的平均得分分别为11.60±8.2和64.66±10.8。WHOQOL-BREF得分最高、最低分别属于社会关系维度和心理健康维度。CDAS与WHOQOL-BREF呈显著负相关(P<0.001, r = -0.656)。女性的焦虑得分高于男性,而生活质量却低于男性。与其他个体相比,家庭成员年龄超过65岁或家庭成员患有慢性疾病的个体的平均焦虑得分明显较高,平均生活质量得分较低。结论:本研究结果表明,工业部门员工的生活质量随着焦虑程度的降低而提高。因此,建议工厂管理者采取必要的措施,识别和消除焦虑的原因,以提高员工的生活质量和生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Covid-19 Anxiety on the Quality of Life (QOL) of People Working in an Industry in 2021: a case study
Background: This study was carried out aimed to investigate the effect of anxiety caused by Covid-19 on the quality of life of people working in the industrial sector. Methods: 212 people working in the industrial sector participated in a descriptive cross-sectional study using multi-stage random sampling. Data was collected using the Demographic Information Questionnaire, the Corona Disease Anxiety Scale (CDAS) and The World Health Organization Quality of Life–BREF (WHOQOL-BREF). SPSS statistical software version 24 was used for data analysis. The significance level of 0.05 is considered. Results: The mean age of participants was 33.27±6.6 years, 78.8% were male and 79.3% (168 people) were married. The mean scores of CDAS and WHOQOL-BREF were 11.60±8.2 and 64.66±10.8, respectively. The highest and lowest score of WHOQOL-BREF belonged to the dimensions of social relationships and mental health, respectively. There was a significant inverse correlation between CDAS and WHOQOL-BREF (P<0.001 and r = -0.656). Women had higher anxiety scores and lower quality of life than men. Individuals with a family member over 65 years of age or a member with a chronic illness had significantly higher mean anxiety scores and lower mean quality of life scores compared to other individuals. Conclusion: The results of this study show that the quality of life of employees in the industrial sector increases with reducing their anxiety. Therefore, it is recommended that factory managers take necessary measures to identify and eliminate the causes of anxiety to increase the quality of life and productivity of employees.
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